This self-contained introductory text on the behavior of learning automata focuses on how a sequential decision-maker with a finite number of choices responds in a random environment. Topics include fixed structure automata, variable structure stochastic automata, convergence, 0 and S models, nonstationary environments, interconnected automata and games, and applications of learning automata. A must for all students of stochastic algorithms, this treatment is the work of two well-known scientists and is suitable for a one-semester graduate course in automata theory and stochastic algorithms. This volume also provides a fine guide for independent study and a reference for students and professionals in operations research, computer science, artificial intelligence, and robotics. The authors have provided a new preface for this edition.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
American control theorist Kumpati S. Narendra currently holds the Harold W. Cheel Professorship of Electrical Engineering at Yale University.Mandayam A. L. Thathachar is a professor at the Indian Institute of Science in Bangalore, India.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : INDOO, Avenel, NJ, Etats-Unis
Etat : New. Brand New. N° de réf. du vendeur 9780486498775
Quantité disponible : Plus de 20 disponibles
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 2012 edition. 496 pages. 9.00x1.10x6.50 inches. In Stock. N° de réf. du vendeur 0486498778
Quantité disponible : 1 disponible(s)